Overview

Brought to you by YData

Dataset statistics

Number of variables31
Number of observations253755
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory60.0 MiB
Average record size in memory248.0 B

Variable types

Numeric28
Categorical3

Alerts

Nhog has constant value "1" Constant
arrenda is highly overall correlated with rentasHigh correlation
cum_factor is highly overall correlated with ing_cor and 1 other fieldsHigh correlation
decile is highly overall correlated with ing_cor and 2 other fieldsHigh correlation
entidad is highly overall correlated with est_dis and 3 other fieldsHigh correlation
est_dis is highly overall correlated with entidad and 3 other fieldsHigh correlation
folioviv is highly overall correlated with entidad and 3 other fieldsHigh correlation
ing_cor is highly overall correlated with cum_factor and 3 other fieldsHigh correlation
ingtrab is highly overall correlated with cum_factor and 3 other fieldsHigh correlation
jubilacion is highly overall correlated with transferHigh correlation
rentas is highly overall correlated with arrenda and 1 other fieldsHigh correlation
trabajo is highly overall correlated with decile and 2 other fieldsHigh correlation
transfer is highly overall correlated with jubilacionHigh correlation
ubica_geo is highly overall correlated with entidad and 3 other fieldsHigh correlation
upm is highly overall correlated with entidad and 3 other fieldsHigh correlation
utilidad is highly overall correlated with rentasHigh correlation
foliohog is highly imbalanced (94.8%) Imbalance
ing_cor is highly skewed (γ1 = 40.06266922) Skewed
ingtrab is highly skewed (γ1 = 21.14059096) Skewed
negocio is highly skewed (γ1 = 93.83910751) Skewed
otros_trab is highly skewed (γ1 = 50.31595339) Skewed
rentas is highly skewed (γ1 = 98.56600621) Skewed
utilidad is highly skewed (γ1 = 101.9846892) Skewed
arrenda is highly skewed (γ1 = 50.09219396) Skewed
transfer is highly skewed (γ1 = 44.30195684) Skewed
jubilacion is highly skewed (γ1 = 70.88625813) Skewed
becas is highly skewed (γ1 = 39.38829772) Skewed
transf_hog is highly skewed (γ1 = 20.62957593) Skewed
trans_inst is highly skewed (γ1 = 93.28168222) Skewed
otros_ing is highly skewed (γ1 = 44.39879323) Skewed
ingtrab has 28787 (11.3%) zeros Zeros
trabajo has 62299 (24.6%) zeros Zeros
negocio has 176458 (69.5%) zeros Zeros
otros_trab has 207401 (81.7%) zeros Zeros
rentas has 233507 (92.0%) zeros Zeros
utilidad has 244002 (96.2%) zeros Zeros
arrenda has 242349 (95.5%) zeros Zeros
transfer has 72418 (28.5%) zeros Zeros
jubilacion has 211880 (83.5%) zeros Zeros
becas has 244742 (96.4%) zeros Zeros
donativos has 199509 (78.6%) zeros Zeros
remesas has 238723 (94.1%) zeros Zeros
bene_gob has 170028 (67.0%) zeros Zeros
transf_hog has 174206 (68.7%) zeros Zeros
trans_inst has 207377 (81.7%) zeros Zeros
estim_alqu has 35251 (13.9%) zeros Zeros
otros_ing has 248610 (98.0%) zeros Zeros
decile has 28631 (11.3%) zeros Zeros

Reproduction

Analysis started2024-11-06 23:52:34.117425
Analysis finished2024-11-06 23:56:23.180789
Duration3 minutes and 49.06 seconds
Software versionydata-profiling vv4.12.0
Download configurationconfig.json

Variables

folioviv
Real number (ℝ)

High correlation 

Distinct245336
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6152604 × 109
Minimum1.00005 × 108
Maximum3.2607989 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:23.314432image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.00005 × 108
5-th percentile2.079852 × 108
Q18.046491 × 108
median1.5620738 × 109
Q32.4034419 × 109
95-th percentile3.1027969 × 109
Maximum3.2607989 × 109
Range3.1607939 × 109
Interquartile range (IQR)1.5987928 × 109

Descriptive statistics

Standard deviation9.2964547 × 108
Coefficient of variation (CV)0.57553906
Kurtosis-1.2143773
Mean1.6152604 × 109
Median Absolute Deviation (MAD)7.9801708 × 108
Skewness0.077342466
Sum4.0988041 × 1014
Variance8.6424071 × 1017
MonotonicityNot monotonic
2024-11-06T16:56:23.591691image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
917007901 5
 
< 0.1%
401444216 5
 
< 0.1%
1603924905 5
 
< 0.1%
1601079606 5
 
< 0.1%
1407220002 5
 
< 0.1%
2260564319 5
 
< 0.1%
2200819303 5
 
< 0.1%
2200518002 5
 
< 0.1%
2502171703 5
 
< 0.1%
2660334402 5
 
< 0.1%
Other values (245326) 253705
> 99.9%
ValueCountFrequency (%)
100005002 1
< 0.1%
100005003 1
< 0.1%
100005004 1
< 0.1%
100012002 2
< 0.1%
100012004 1
< 0.1%
100012006 1
< 0.1%
100013601 1
< 0.1%
100013602 1
< 0.1%
100013603 1
< 0.1%
100013604 1
< 0.1%
ValueCountFrequency (%)
3260798906 1
< 0.1%
3260798905 1
< 0.1%
3260798904 1
< 0.1%
3260798903 1
< 0.1%
3260798902 1
< 0.1%
3260798901 1
< 0.1%
3260798812 1
< 0.1%
3260798811 1
< 0.1%
3260798810 1
< 0.1%
3260798809 1
< 0.1%

foliohog
Categorical

Imbalance 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.1 MiB
1
249982 
2
 
3286
3
 
422
4
 
55
5
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters253755
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 249982
98.5%
2 3286
 
1.3%
3 422
 
0.2%
4 55
 
< 0.1%
5 10
 
< 0.1%

Length

2024-11-06T16:56:23.831051image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-11-06T16:56:24.031514image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
1 249982
98.5%
2 3286
 
1.3%
3 422
 
0.2%
4 55
 
< 0.1%
5 10
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
1 249982
98.5%
2 3286
 
1.3%
3 422
 
0.2%
4 55
 
< 0.1%
5 10
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 253755
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 249982
98.5%
2 3286
 
1.3%
3 422
 
0.2%
4 55
 
< 0.1%
5 10
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 253755
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 249982
98.5%
2 3286
 
1.3%
3 422
 
0.2%
4 55
 
< 0.1%
5 10
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 253755
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 249982
98.5%
2 3286
 
1.3%
3 422
 
0.2%
4 55
 
< 0.1%
5 10
 
< 0.1%

ubica_geo
Real number (ℝ)

High correlation 

Distinct1528
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15937.66
Minimum1001
Maximum32057
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:24.248933image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1001
5-th percentile2002
Q18019
median15121
Q324028
95-th percentile31050
Maximum32057
Range31056
Interquartile range (IQR)16009

Descriptive statistics

Standard deviation9308.9278
Coefficient of variation (CV)0.58408371
Kurtosis-1.2184141
Mean15937.66
Median Absolute Deviation (MAD)7887
Skewness0.077489507
Sum4.044261 × 109
Variance86656136
MonotonicityIncreasing
2024-11-06T16:56:24.526193image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1001 4428
 
1.7%
2002 3938
 
1.6%
2004 3825
 
1.5%
8037 3746
 
1.5%
22014 3677
 
1.4%
25006 3318
 
1.3%
3008 2871
 
1.1%
3003 2869
 
1.1%
23005 2691
 
1.1%
31050 2647
 
1.0%
Other values (1518) 219745
86.6%
ValueCountFrequency (%)
1001 4428
1.7%
1002 341
 
0.1%
1003 454
 
0.2%
1004 39
 
< 0.1%
1005 780
 
0.3%
1006 368
 
0.1%
1007 414
 
0.2%
1008 44
 
< 0.1%
1009 171
 
0.1%
1010 183
 
0.1%
ValueCountFrequency (%)
32057 71
 
< 0.1%
32056 646
0.3%
32055 56
 
< 0.1%
32054 192
 
0.1%
32053 171
 
0.1%
32052 132
 
0.1%
32051 161
 
0.1%
32050 48
 
< 0.1%
32049 84
 
< 0.1%
32048 113
 
< 0.1%

ing_cor
Real number (ℝ)

High correlation  Skewed 

Distinct223229
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52157.862
Minimum0
Maximum10702107
Zeros30
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:24.961028image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10563.866
Q123152.855
median38189.65
Q363042.055
95-th percentile133639.89
Maximum10702107
Range10702107
Interquartile range (IQR)39889.2

Descriptive statistics

Standard deviation71496.053
Coefficient of variation (CV)1.3707627
Kurtosis3796.2765
Mean52157.862
Median Absolute Deviation (MAD)17940.76
Skewness40.062669
Sum1.3235318 × 1010
Variance5.1116856 × 109
MonotonicityNot monotonic
2024-11-06T16:56:25.259230image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29347.82 59
 
< 0.1%
17608.69 56
 
< 0.1%
23478.26 55
 
< 0.1%
20511.91 51
 
< 0.1%
23415.14 45
 
< 0.1%
29508.19 44
 
< 0.1%
21963.52 42
 
< 0.1%
29284.71 42
 
< 0.1%
22204.91 42
 
< 0.1%
16990.17 39
 
< 0.1%
Other values (223219) 253280
99.8%
ValueCountFrequency (%)
0 30
< 0.1%
79.67 1
 
< 0.1%
97.82 1
 
< 0.1%
264.13 1
 
< 0.1%
381.29 1
 
< 0.1%
405 1
 
< 0.1%
467.21 1
 
< 0.1%
580.64 1
 
< 0.1%
681.48 1
 
< 0.1%
684.78 1
 
< 0.1%
ValueCountFrequency (%)
10702107.4 1
< 0.1%
7153770.46 1
< 0.1%
6431318.87 1
< 0.1%
6406776.43 1
< 0.1%
6124150.93 1
< 0.1%
6033136.73 1
< 0.1%
5915139.37 1
< 0.1%
4501830.28 1
< 0.1%
4033085.53 1
< 0.1%
3950804.34 1
< 0.1%

factor
Real number (ℝ)

Distinct2380
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean424.46571
Minimum6
Maximum6470
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:25.562419image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile53
Q1156
median293
Q3535
95-th percentile1278
Maximum6470
Range6464
Interquartile range (IQR)379

Descriptive statistics

Standard deviation433.26491
Coefficient of variation (CV)1.0207301
Kurtosis13.496032
Mean424.46571
Median Absolute Deviation (MAD)166
Skewness2.877524
Sum1.077103 × 108
Variance187718.49
MonotonicityNot monotonic
2024-11-06T16:56:25.804770image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
112 875
 
0.3%
104 855
 
0.3%
119 841
 
0.3%
102 829
 
0.3%
115 820
 
0.3%
114 772
 
0.3%
96 764
 
0.3%
116 732
 
0.3%
105 729
 
0.3%
101 725
 
0.3%
Other values (2370) 245813
96.9%
ValueCountFrequency (%)
6 19
 
< 0.1%
9 51
 
< 0.1%
10 58
 
< 0.1%
12 96
 
< 0.1%
14 22
 
< 0.1%
15 100
 
< 0.1%
16 114
 
< 0.1%
17 194
0.1%
18 269
0.1%
19 421
0.2%
ValueCountFrequency (%)
6470 5
< 0.1%
6414 1
 
< 0.1%
6133 4
< 0.1%
6074 6
< 0.1%
5763 6
< 0.1%
5284 5
< 0.1%
5280 4
< 0.1%
5210 3
< 0.1%
5099 2
 
< 0.1%
5044 1
 
< 0.1%

upm
Real number (ℝ)

High correlation 

Distinct10231
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4943.8809
Minimum1
Maximum10232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:26.052109image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile602
Q12507
median4886
Q37175
95-th percentile9599
Maximum10232
Range10231
Interquartile range (IQR)4668

Descriptive statistics

Standard deviation2816.5227
Coefficient of variation (CV)0.56969874
Kurtosis-1.0721149
Mean4943.8809
Median Absolute Deviation (MAD)2315
Skewness0.050804308
Sum1.2545345 × 109
Variance7932800.1
MonotonicityNot monotonic
2024-11-06T16:56:26.309421image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5352 73
 
< 0.1%
5337 72
 
< 0.1%
4423 72
 
< 0.1%
5345 71
 
< 0.1%
283 70
 
< 0.1%
2444 70
 
< 0.1%
1002 70
 
< 0.1%
6751 70
 
< 0.1%
5358 69
 
< 0.1%
5338 69
 
< 0.1%
Other values (10221) 253049
99.7%
ValueCountFrequency (%)
1 10
< 0.1%
2 13
< 0.1%
3 14
< 0.1%
4 16
< 0.1%
5 12
< 0.1%
6 14
< 0.1%
7 12
< 0.1%
8 17
< 0.1%
9 14
< 0.1%
10 16
< 0.1%
ValueCountFrequency (%)
10232 23
< 0.1%
10231 23
< 0.1%
10230 19
< 0.1%
10229 20
< 0.1%
10228 19
< 0.1%
10227 20
< 0.1%
10226 17
< 0.1%
10225 19
< 0.1%
10224 19
< 0.1%
10223 20
< 0.1%

est_dis
Real number (ℝ)

High correlation 

Distinct560
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean259.94604
Minimum1
Maximum560
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:26.548780image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27
Q1120
median254
Q3388
95-th percentile533
Maximum560
Range559
Interquartile range (IQR)268

Descriptive statistics

Standard deviation161.19906
Coefficient of variation (CV)0.6201251
Kurtosis-1.1208485
Mean259.94604
Median Absolute Deviation (MAD)134
Skewness0.14400203
Sum65962607
Variance25985.138
MonotonicityNot monotonic
2024-11-06T16:56:26.795122image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 3247
 
1.3%
138 2516
 
1.0%
11 2313
 
0.9%
139 1942
 
0.8%
2 1773
 
0.7%
140 1759
 
0.7%
333 1706
 
0.7%
29 1599
 
0.6%
116 1586
 
0.6%
331 1548
 
0.6%
Other values (550) 233766
92.1%
ValueCountFrequency (%)
1 1184
0.5%
2 1773
0.7%
3 691
 
0.3%
4 153
 
0.1%
5 44
 
< 0.1%
6 51
 
< 0.1%
7 383
 
0.2%
8 127
 
0.1%
9 266
 
0.1%
10 974
0.4%
ValueCountFrequency (%)
560 637
0.3%
559 345
0.1%
558 859
0.3%
557 645
0.3%
556 331
 
0.1%
555 560
0.2%
554 246
 
0.1%
553 324
 
0.1%
552 211
 
0.1%
551 327
 
0.1%

ingtrab
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct125265
Distinct (%)49.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34180.989
Minimum0
Maximum5891913.6
Zeros28787
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:27.054429image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19640.99
median24590.15
Q345817.23
95-th percentile99737.67
Maximum5891913.6
Range5891913.6
Interquartile range (IQR)36176.24

Descriptive statistics

Standard deviation44099.976
Coefficient of variation (CV)1.2901902
Kurtosis1887.6356
Mean34180.989
Median Absolute Deviation (MAD)17379
Skewness21.140591
Sum8.6735969 × 109
Variance1.9448079 × 109
MonotonicityNot monotonic
2024-11-06T16:56:27.333681image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28787
 
11.3%
17608.69 727
 
0.3%
23478.26 507
 
0.2%
29347.82 463
 
0.2%
11739.13 449
 
0.2%
17704.91 431
 
0.2%
19076.08 408
 
0.2%
14086.95 399
 
0.2%
15260.86 367
 
0.1%
23606.55 320
 
0.1%
Other values (125255) 220897
87.1%
ValueCountFrequency (%)
0 28787
11.3%
2.93 4
 
< 0.1%
2.95 1
 
< 0.1%
4.89 2
 
< 0.1%
4.91 1
 
< 0.1%
4.97 1
 
< 0.1%
5.86 4
 
< 0.1%
5.9 3
 
< 0.1%
5.96 2
 
< 0.1%
7.33 3
 
< 0.1%
ValueCountFrequency (%)
5891913.57 1
< 0.1%
3950804.34 1
< 0.1%
3771994 1
< 0.1%
2910326.08 1
< 0.1%
2667344.25 1
< 0.1%
2002740.74 1
< 0.1%
1841188.51 1
< 0.1%
1743205.1 1
< 0.1%
1622688.26 1
< 0.1%
1571818.67 1
< 0.1%

trabajo
Real number (ℝ)

High correlation  Zeros 

Distinct83585
Distinct (%)32.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28490.366
Minimum0
Maximum3950804.3
Zeros62299
Zeros (%)24.6%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:27.599968image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1344.26
median19520.46
Q339864.12
95-th percentile91153.318
Maximum3950804.3
Range3950804.3
Interquartile range (IQR)39519.86

Descriptive statistics

Standard deviation39253.867
Coefficient of variation (CV)1.3777944
Kurtosis976.21019
Mean28490.366
Median Absolute Deviation (MAD)19520.46
Skewness14.324796
Sum7.2295728 × 109
Variance1.5408661 × 109
MonotonicityNot monotonic
2024-11-06T16:56:27.874236image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62299
 
24.6%
17608.69 1062
 
0.4%
23478.26 703
 
0.3%
11739.13 699
 
0.3%
17704.91 612
 
0.2%
14086.95 608
 
0.2%
29347.82 557
 
0.2%
19076.08 539
 
0.2%
15260.86 535
 
0.2%
8804.34 481
 
0.2%
Other values (83575) 185660
73.2%
ValueCountFrequency (%)
0 62299
24.6%
0.99 1
 
< 0.1%
2.45 1
 
< 0.1%
3.97 1
 
< 0.1%
4.89 3
 
< 0.1%
4.91 2
 
< 0.1%
4.97 1
 
< 0.1%
5.86 1
 
< 0.1%
5.96 1
 
< 0.1%
7.33 3
 
< 0.1%
ValueCountFrequency (%)
3950804.34 1
< 0.1%
3771994 1
< 0.1%
2836956.52 1
< 0.1%
2655737.7 1
< 0.1%
2002740.74 1
< 0.1%
1398565.56 1
< 0.1%
1218232.02 1
< 0.1%
1192872.89 1
< 0.1%
1187119.56 1
< 0.1%
1173913.04 1
< 0.1%

negocio
Real number (ℝ)

Skewed  Zeros 

Distinct41269
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4392.4865
Minimum0
Maximum5712891.8
Zeros176458
Zeros (%)69.5%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:28.134547image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31217.93
95-th percentile24077.927
Maximum5712891.8
Range5712891.8
Interquartile range (IQR)1217.93

Descriptive statistics

Standard deviation20971.475
Coefficient of variation (CV)4.7743972
Kurtosis22321.066
Mean4392.4865
Median Absolute Deviation (MAD)0
Skewness93.839108
Sum1.1146154 × 109
Variance4.3980277 × 108
MonotonicityNot monotonic
2024-11-06T16:56:28.397834image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 176458
69.5%
1467.39 85
 
< 0.1%
293.47 81
 
< 0.1%
5869.56 79
 
< 0.1%
586.95 69
 
< 0.1%
2934.78 69
 
< 0.1%
733.69 68
 
< 0.1%
73.36 67
 
< 0.1%
146.73 64
 
< 0.1%
440.21 62
 
< 0.1%
Other values (41259) 76653
30.2%
ValueCountFrequency (%)
0 176458
69.5%
0.48 1
 
< 0.1%
0.97 1
 
< 0.1%
2.45 1
 
< 0.1%
2.93 15
 
< 0.1%
2.95 6
 
< 0.1%
2.96 1
 
< 0.1%
2.98 1
 
< 0.1%
3.93 1
 
< 0.1%
4.89 2
 
< 0.1%
ValueCountFrequency (%)
5712891.84 1
< 0.1%
1743205.1 1
< 0.1%
1622688.26 1
< 0.1%
1473748.04 1
< 0.1%
1223699.66 1
< 0.1%
1120231.94 1
< 0.1%
952480.32 1
< 0.1%
939538.02 1
< 0.1%
921266.55 1
< 0.1%
889524.59 1
< 0.1%

otros_trab
Real number (ℝ)

Skewed  Zeros 

Distinct6569
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1298.1367
Minimum0
Maximum1257295.1
Zeros207401
Zeros (%)81.7%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:28.671110image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8315.21
Maximum1257295.1
Range1257295.1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6733.4849
Coefficient of variation (CV)5.1870385
Kurtosis6778.9569
Mean1298.1367
Median Absolute Deviation (MAD)0
Skewness50.315953
Sum3.2940867 × 108
Variance45339819
MonotonicityNot monotonic
2024-11-06T16:56:28.943377image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 207401
81.7%
2934.78 575
 
0.2%
978.26 527
 
0.2%
5869.56 526
 
0.2%
1467.39 525
 
0.2%
1956.52 453
 
0.2%
489.13 418
 
0.2%
3913.04 406
 
0.2%
586.95 384
 
0.2%
293.47 383
 
0.2%
Other values (6559) 42157
 
16.6%
ValueCountFrequency (%)
0 207401
81.7%
0.48 4
 
< 0.1%
0.49 8
 
< 0.1%
2.95 1
 
< 0.1%
4.91 2
 
< 0.1%
5.43 1
 
< 0.1%
6.39 1
 
< 0.1%
7.37 1
 
< 0.1%
7.82 1
 
< 0.1%
9.78 3
 
< 0.1%
ValueCountFrequency (%)
1257295.08 1
< 0.1%
929347.82 1
< 0.1%
493276.72 1
< 0.1%
442622.95 1
< 0.1%
405494.5 1
< 0.1%
393442.62 1
< 0.1%
391304.34 1
< 0.1%
376548.06 1
< 0.1%
343663.03 1
< 0.1%
317769.23 1
< 0.1%

rentas
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct9556
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3061.078
Minimum0
Maximum10688918
Zeros233507
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:29.209664image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6795.487
Maximum10688918
Range10688918
Interquartile range (IQR)0

Descriptive statistics

Standard deviation49105.834
Coefficient of variation (CV)16.042007
Kurtosis14983.938
Mean3061.078
Median Absolute Deviation (MAD)0
Skewness98.566006
Sum7.7676385 × 108
Variance2.4113829 × 109
MonotonicityNot monotonic
2024-11-06T16:56:29.489915image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 233507
92.0%
2934.78 430
 
0.2%
5869.56 405
 
0.2%
4402.17 350
 
0.1%
8804.34 282
 
0.1%
2950.81 258
 
0.1%
5901.63 241
 
0.1%
14673.91 221
 
0.1%
7336.95 213
 
0.1%
1467.39 207
 
0.1%
Other values (9546) 17641
 
7.0%
ValueCountFrequency (%)
0 233507
92.0%
0.97 1
 
< 0.1%
2.44 1
 
< 0.1%
3.48 1
 
< 0.1%
4.89 2
 
< 0.1%
7.33 1
 
< 0.1%
8.8 2
 
< 0.1%
8.95 1
 
< 0.1%
9.78 1
 
< 0.1%
9.83 1
 
< 0.1%
ValueCountFrequency (%)
10688918.47 1
< 0.1%
6854754.09 1
< 0.1%
6329445.65 1
< 0.1%
6197282.6 1
< 0.1%
5990624.99 1
< 0.1%
5894135.28 1
< 0.1%
3916956.5 1
< 0.1%
3499259.66 1
< 0.1%
3282786.88 1
< 0.1%
3268738.03 1
< 0.1%

utilidad
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct8460
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2487.5975
Minimum0
Maximum10688918
Zeros244002
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:29.908807image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10688918
Range10688918
Interquartile range (IQR)0

Descriptive statistics

Standard deviation47720.772
Coefficient of variation (CV)19.183478
Kurtosis16044.296
Mean2487.5975
Median Absolute Deviation (MAD)0
Skewness101.98469
Sum6.3124029 × 108
Variance2.277272 × 109
MonotonicityNot monotonic
2024-11-06T16:56:30.181065image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 244002
96.2%
19076.08 13
 
< 0.1%
29508.19 11
 
< 0.1%
11739.13 10
 
< 0.1%
14673.91 10
 
< 0.1%
29347.82 10
 
< 0.1%
31793.47 9
 
< 0.1%
4402.17 9
 
< 0.1%
5869.56 9
 
< 0.1%
4891.3 9
 
< 0.1%
Other values (8450) 9663
 
3.8%
ValueCountFrequency (%)
0 244002
96.2%
20.54 1
 
< 0.1%
29.34 1
 
< 0.1%
32.45 1
 
< 0.1%
35.21 1
 
< 0.1%
49.18 2
 
< 0.1%
50.16 1
 
< 0.1%
67.49 1
 
< 0.1%
70.6 1
 
< 0.1%
70.92 1
 
< 0.1%
ValueCountFrequency (%)
10688918.47 1
< 0.1%
6854754.09 1
< 0.1%
6329445.65 1
< 0.1%
5990624.99 1
< 0.1%
5735019.28 1
< 0.1%
5233695.65 1
< 0.1%
3499259.66 1
< 0.1%
3282786.88 1
< 0.1%
3268738.03 1
< 0.1%
3095217.38 1
< 0.1%

arrenda
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct1627
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean573.48055
Minimum0
Maximum963586.95
Zeros242349
Zeros (%)95.5%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:30.458323image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum963586.95
Range963586.95
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6800.8265
Coefficient of variation (CV)11.858862
Kurtosis4451.0881
Mean573.48055
Median Absolute Deviation (MAD)0
Skewness50.092194
Sum1.4552356 × 108
Variance46251241
MonotonicityNot monotonic
2024-11-06T16:56:30.723612image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 242349
95.5%
2934.78 442
 
0.2%
5869.56 420
 
0.2%
4402.17 361
 
0.1%
8804.34 302
 
0.1%
2950.81 269
 
0.1%
5901.63 253
 
0.1%
14673.91 241
 
0.1%
7336.95 227
 
0.1%
1467.39 215
 
0.1%
Other values (1617) 8676
 
3.4%
ValueCountFrequency (%)
0 242349
95.5%
0.97 1
 
< 0.1%
2.44 1
 
< 0.1%
3.48 1
 
< 0.1%
4.89 2
 
< 0.1%
5.86 1
 
< 0.1%
7.33 1
 
< 0.1%
8.8 2
 
< 0.1%
8.95 1
 
< 0.1%
9.78 1
 
< 0.1%
ValueCountFrequency (%)
963586.95 1
< 0.1%
821739.12 1
< 0.1%
733695.65 1
< 0.1%
608967.38 1
< 0.1%
596685.07 1
< 0.1%
589226.51 1
< 0.1%
545901.63 1
< 0.1%
440217.39 1
< 0.1%
397418.47 1
< 0.1%
393783.26 1
< 0.1%

transfer
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct87184
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9165.8536
Minimum0
Maximum4490217.4
Zeros72418
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:30.997879image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2973.72
Q310285.69
95-th percentile37680.731
Maximum4490217.4
Range4490217.4
Interquartile range (IQR)10285.69

Descriptive statistics

Standard deviation21496.722
Coefficient of variation (CV)2.345305
Kurtosis7727.1641
Mean9165.8536
Median Absolute Deviation (MAD)2973.72
Skewness44.301957
Sum2.3258812 × 109
Variance4.6210908 × 108
MonotonicityNot monotonic
2024-11-06T16:56:31.253196image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72418
28.5%
1565.21 1079
 
0.4%
2571.42 973
 
0.4%
2347.82 929
 
0.4%
1285.71 807
 
0.3%
782.6 736
 
0.3%
5869.56 718
 
0.3%
2934.78 696
 
0.3%
1573.77 651
 
0.3%
1928.57 565
 
0.2%
Other values (87174) 174183
68.6%
ValueCountFrequency (%)
0 72418
28.5%
2.44 1
 
< 0.1%
4.89 2
 
< 0.1%
5.8 3
 
< 0.1%
7.33 2
 
< 0.1%
9.78 9
 
< 0.1%
9.83 5
 
< 0.1%
9.89 1
 
< 0.1%
12.85 8
 
< 0.1%
13.92 1
 
< 0.1%
ValueCountFrequency (%)
4490217.38 1
< 0.1%
1448245.31 1
< 0.1%
1324925.73 1
< 0.1%
1195106.15 1
< 0.1%
1004812.19 1
< 0.1%
1001867.4 1
< 0.1%
930803 1
< 0.1%
805327.85 1
< 0.1%
694045.54 1
< 0.1%
688524.59 1
< 0.1%

jubilacion
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct4643
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3979.5932
Minimum0
Maximum4490217.4
Zeros211880
Zeros (%)83.5%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:31.557384image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile23478.26
Maximum4490217.4
Range4490217.4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17548.148
Coefficient of variation (CV)4.4095331
Kurtosis16894.757
Mean3979.5932
Median Absolute Deviation (MAD)0
Skewness70.886258
Sum1.0098417 × 109
Variance3.0793749 × 108
MonotonicityNot monotonic
2024-11-06T16:56:31.857580image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 211880
83.5%
8804.34 1268
 
0.5%
5869.56 977
 
0.4%
7336.95 895
 
0.4%
8852.45 770
 
0.3%
11739.13 700
 
0.3%
8217.39 652
 
0.3%
14673.91 619
 
0.2%
17608.69 615
 
0.2%
23478.26 559
 
0.2%
Other values (4633) 34820
 
13.7%
ValueCountFrequency (%)
0 211880
83.5%
44.99 1
 
< 0.1%
49.18 1
 
< 0.1%
97.82 1
 
< 0.1%
98.36 1
 
< 0.1%
99.44 1
 
< 0.1%
131.76 1
 
< 0.1%
147.54 1
 
< 0.1%
170.21 1
 
< 0.1%
171.19 1
 
< 0.1%
ValueCountFrequency (%)
4490217.38 1
< 0.1%
688524.59 1
< 0.1%
531147.54 1
< 0.1%
498913.04 1
< 0.1%
479347.82 1
< 0.1%
460327.86 1
< 0.1%
446789.5 1
< 0.1%
440217.39 1
< 0.1%
440217.38 1
< 0.1%
402065.21 1
< 0.1%

becas
Real number (ℝ)

Skewed  Zeros 

Distinct1722
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.695918
Minimum0
Maximum153831.51
Zeros244742
Zeros (%)96.4%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:32.121873image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum153831.51
Range153831.51
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1392.5477
Coefficient of variation (CV)13.967952
Kurtosis2237.8031
Mean99.695918
Median Absolute Deviation (MAD)0
Skewness39.388298
Sum25298338
Variance1939189.2
MonotonicityNot monotonic
2024-11-06T16:56:32.464955image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 244742
96.4%
782.6 280
 
0.1%
2347.82 244
 
0.1%
1565.21 215
 
0.1%
786.88 184
 
0.1%
1467.39 148
 
0.1%
586.95 146
 
0.1%
733.69 141
 
0.1%
489.13 132
 
0.1%
1173.91 118
 
< 0.1%
Other values (1712) 7405
 
2.9%
ValueCountFrequency (%)
0 244742
96.4%
15.65 1
 
< 0.1%
48.91 1
 
< 0.1%
73.36 3
 
< 0.1%
73.77 2
 
< 0.1%
75.81 1
 
< 0.1%
97.82 9
 
< 0.1%
98.36 8
 
< 0.1%
99.44 1
 
< 0.1%
110.05 1
 
< 0.1%
ValueCountFrequency (%)
153831.51 1
< 0.1%
118032.78 1
< 0.1%
113967.39 1
< 0.1%
100956.52 1
< 0.1%
97377.03 1
< 0.1%
94279.88 1
< 0.1%
88043.47 1
< 0.1%
88043.46 1
< 0.1%
83535.9 1
< 0.1%
82622.94 1
< 0.1%

donativos
Real number (ℝ)

Zeros 

Distinct5237
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1146.441
Minimum0
Maximum413114.75
Zeros199509
Zeros (%)78.6%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:32.788091image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7043.47
Maximum413114.75
Range413114.75
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4566.3634
Coefficient of variation (CV)3.9830777
Kurtosis802.86682
Mean1146.441
Median Absolute Deviation (MAD)0
Skewness16.608278
Sum2.9091513 × 108
Variance20851675
MonotonicityNot monotonic
2024-11-06T16:56:33.088288image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 199509
78.6%
2934.78 1698
 
0.7%
5869.56 1534
 
0.6%
1467.39 1090
 
0.4%
2950.81 908
 
0.4%
5901.63 899
 
0.4%
489.13 769
 
0.3%
8804.34 763
 
0.3%
978.26 704
 
0.3%
1475.4 695
 
0.3%
Other values (5227) 45186
 
17.8%
ValueCountFrequency (%)
0 199509
78.6%
0.99 1
 
< 0.1%
2.44 2
 
< 0.1%
2.45 1
 
< 0.1%
4.89 6
 
< 0.1%
4.91 3
 
< 0.1%
4.97 3
 
< 0.1%
5.46 1
 
< 0.1%
7.33 2
 
< 0.1%
7.37 1
 
< 0.1%
ValueCountFrequency (%)
413114.75 1
< 0.1%
354098.36 2
< 0.1%
317934.78 1
< 0.1%
211304.34 1
< 0.1%
196630.42 1
< 0.1%
176086.95 1
< 0.1%
176086.94 1
< 0.1%
162620.7 1
< 0.1%
155054.34 1
< 0.1%
147540.98 1
< 0.1%

remesas
Real number (ℝ)

Zeros 

Distinct3024
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean664.72281
Minimum0
Maximum360948.9
Zeros238723
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:33.368537image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1112.151
Maximum360948.9
Range360948.9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4777.3417
Coefficient of variation (CV)7.1869682
Kurtosis449.02133
Mean664.72281
Median Absolute Deviation (MAD)0
Skewness15.804189
Sum1.6867674 × 108
Variance22822993
MonotonicityNot monotonic
2024-11-06T16:56:33.668737image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 238723
94.1%
2934.78 381
 
0.2%
5869.56 374
 
0.1%
978.26 291
 
0.1%
1467.39 257
 
0.1%
11739.13 250
 
0.1%
8804.34 224
 
0.1%
489.13 219
 
0.1%
5901.63 214
 
0.1%
2950.81 202
 
0.1%
Other values (3014) 12620
 
5.0%
ValueCountFrequency (%)
0 238723
94.1%
4.97 1
 
< 0.1%
9.78 1
 
< 0.1%
9.83 1
 
< 0.1%
14.75 1
 
< 0.1%
19.56 1
 
< 0.1%
24.59 1
 
< 0.1%
24.72 1
 
< 0.1%
48.91 6
 
< 0.1%
49.18 6
 
< 0.1%
ValueCountFrequency (%)
360948.9 1
< 0.1%
244565.21 1
< 0.1%
238524.59 1
< 0.1%
205434.78 1
< 0.1%
200655.73 1
< 0.1%
181967.21 1
< 0.1%
181721.28 1
< 0.1%
180978.26 1
< 0.1%
176086.95 1
< 0.1%
174619.56 1
< 0.1%

bene_gob
Real number (ℝ)

Zeros 

Distinct9423
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1341.253
Minimum0
Maximum122282.6
Zeros170028
Zeros (%)67.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:33.921061image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31702.17
95-th percentile6456.52
Maximum122282.6
Range122282.6
Interquartile range (IQR)1702.17

Descriptive statistics

Standard deviation2688.0839
Coefficient of variation (CV)2.0041587
Kurtosis34.295996
Mean1341.253
Median Absolute Deviation (MAD)0
Skewness3.5025346
Sum3.4034966 × 108
Variance7225795.2
MonotonicityNot monotonic
2024-11-06T16:56:34.187348image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 170028
67.0%
1565.21 2387
 
0.9%
5649.45 2127
 
0.8%
2347.82 1661
 
0.7%
1573.77 1474
 
0.6%
782.6 1340
 
0.5%
1702.17 1286
 
0.5%
5576.08 1250
 
0.5%
5680.32 1183
 
0.5%
786.88 1053
 
0.4%
Other values (9413) 69966
27.6%
ValueCountFrequency (%)
0 170028
67.0%
44.02 1
 
< 0.1%
44.26 2
 
< 0.1%
44.75 1
 
< 0.1%
48.91 2
 
< 0.1%
49.18 2
 
< 0.1%
49.45 1
 
< 0.1%
52.82 1
 
< 0.1%
63.58 1
 
< 0.1%
73.36 1
 
< 0.1%
ValueCountFrequency (%)
122282.6 1
< 0.1%
66560.43 1
< 0.1%
63195.64 1
< 0.1%
62163.93 1
< 0.1%
48961.94 1
< 0.1%
48196.72 1
< 0.1%
46478.14 1
< 0.1%
46467.38 1
< 0.1%
45914.72 1
< 0.1%
45326.17 1
< 0.1%

transf_hog
Real number (ℝ)

Skewed  Zeros 

Distinct23762
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1383.1761
Minimum0
Maximum465000
Zeros174206
Zeros (%)68.7%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:34.445657image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3799.205
95-th percentile7714.27
Maximum465000
Range465000
Interquartile range (IQR)799.205

Descriptive statistics

Standard deviation4312.26
Coefficient of variation (CV)3.1176508
Kurtosis1452.5877
Mean1383.1761
Median Absolute Deviation (MAD)0
Skewness20.629576
Sum3.5098785 × 108
Variance18595586
MonotonicityNot monotonic
2024-11-06T16:56:34.684020image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 174206
68.7%
2571.42 2245
 
0.9%
1285.71 1998
 
0.8%
642.85 1322
 
0.5%
1928.57 1311
 
0.5%
3857.14 1117
 
0.4%
771.42 1108
 
0.4%
1028.57 860
 
0.3%
1542.85 785
 
0.3%
385.71 729
 
0.3%
Other values (23752) 68074
 
26.8%
ValueCountFrequency (%)
0 174206
68.7%
5.8 1
 
< 0.1%
7.82 1
 
< 0.1%
9.78 3
 
< 0.1%
11.73 1
 
< 0.1%
12.85 4
 
< 0.1%
14.51 2
 
< 0.1%
14.67 3
 
< 0.1%
17.11 1
 
< 0.1%
19.28 1
 
< 0.1%
ValueCountFrequency (%)
465000 1
< 0.1%
424259.99 1
< 0.1%
383452.22 1
< 0.1%
348387.09 1
< 0.1%
236249.98 1
< 0.1%
219940.07 1
< 0.1%
155426.02 1
< 0.1%
154799.99 1
< 0.1%
152305.48 1
< 0.1%
144738.56 1
< 0.1%

trans_inst
Real number (ℝ)

Skewed  Zeros 

Distinct12264
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean550.97167
Minimum0
Maximum1425130.4
Zeros207377
Zeros (%)81.7%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:34.915400image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1851.42
Maximum1425130.4
Range1425130.4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7902.0543
Coefficient of variation (CV)14.342034
Kurtosis12582.808
Mean550.97167
Median Absolute Deviation (MAD)0
Skewness93.281682
Sum1.3981182 × 108
Variance62442462
MonotonicityNot monotonic
2024-11-06T16:56:35.171715image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 207377
81.7%
293.47 971
 
0.4%
97.82 872
 
0.3%
195.65 709
 
0.3%
146.73 588
 
0.2%
586.95 557
 
0.2%
48.91 543
 
0.2%
782.6 458
 
0.2%
489.13 449
 
0.2%
391.3 434
 
0.2%
Other values (12254) 40797
 
16.1%
ValueCountFrequency (%)
0 207377
81.7%
0.49 1
 
< 0.1%
0.97 1
 
< 0.1%
3.88 1
 
< 0.1%
4.89 5
 
< 0.1%
5.8 2
 
< 0.1%
5.86 1
 
< 0.1%
6 2
 
< 0.1%
6.35 1
 
< 0.1%
6.84 1
 
< 0.1%
ValueCountFrequency (%)
1425130.42 1
< 0.1%
1302358.67 1
< 0.1%
1185260.85 1
< 0.1%
978260.86 1
< 0.1%
964565.2 1
< 0.1%
918195.63 1
< 0.1%
626086.94 1
< 0.1%
594560.5 1
< 0.1%
586956.52 1
< 0.1%
574239.12 1
< 0.1%

estim_alqu
Real number (ℝ)

Zeros 

Distinct397
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5704.2286
Minimum0
Maximum348387.09
Zeros35251
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:35.629490image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12100
median4354.83
Q37258.06
95-th percentile15000
Maximum348387.09
Range348387.09
Interquartile range (IQR)5158.06

Descriptive statistics

Standard deviation7427.3783
Coefficient of variation (CV)1.3020829
Kurtosis140.87204
Mean5704.2286
Median Absolute Deviation (MAD)2554.83
Skewness7.4741111
Sum1.4474765 × 109
Variance55165948
MonotonicityNot monotonic
2024-11-06T16:56:35.969581image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35251
 
13.9%
2903.22 22717
 
9.0%
4354.83 21434
 
8.4%
5806.45 19961
 
7.9%
8709.67 11789
 
4.6%
3000 11125
 
4.4%
4500 10447
 
4.1%
6000 9929
 
3.9%
1451.61 9673
 
3.8%
7258.06 9025
 
3.6%
Other values (387) 92404
36.4%
ValueCountFrequency (%)
0 35251
13.9%
2.9 6
 
< 0.1%
3 1
 
< 0.1%
145.16 17
 
< 0.1%
150 3
 
< 0.1%
174.19 1
 
< 0.1%
232.25 4
 
< 0.1%
290.32 203
 
0.1%
300 93
 
< 0.1%
348.38 6
 
< 0.1%
ValueCountFrequency (%)
348387.09 1
 
< 0.1%
300000 3
< 0.1%
290322.58 1
 
< 0.1%
290319.67 1
 
< 0.1%
240000 3
< 0.1%
232258.06 1
 
< 0.1%
210000 1
 
< 0.1%
203225.8 2
< 0.1%
180000 4
< 0.1%
174193.54 1
 
< 0.1%

otros_ing
Real number (ℝ)

Skewed  Zeros 

Distinct1326
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.712706
Minimum0
Maximum97826.08
Zeros248610
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:36.291719image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum97826.08
Range97826.08
Interquartile range (IQR)0

Descriptive statistics

Standard deviation879.54446
Coefficient of variation (CV)19.2407
Kurtosis2947.6616
Mean45.712706
Median Absolute Deviation (MAD)0
Skewness44.398793
Sum11599828
Variance773598.47
MonotonicityNot monotonic
2024-11-06T16:56:36.616850image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 248610
98.0%
24.45 167
 
0.1%
48.91 166
 
0.1%
97.82 139
 
0.1%
9.78 114
 
< 0.1%
244.56 96
 
< 0.1%
24.59 79
 
< 0.1%
9.83 78
 
< 0.1%
98.36 74
 
< 0.1%
49.18 71
 
< 0.1%
Other values (1316) 4161
 
1.6%
ValueCountFrequency (%)
0 248610
98.0%
0.48 13
 
< 0.1%
0.49 16
 
< 0.1%
0.97 12
 
< 0.1%
0.98 5
 
< 0.1%
0.99 3
 
< 0.1%
1.45 1
 
< 0.1%
1.46 5
 
< 0.1%
1.47 1
 
< 0.1%
1.49 1
 
< 0.1%
ValueCountFrequency (%)
97826.08 1
< 0.1%
86340.65 1
< 0.1%
82663.04 1
< 0.1%
73369.56 1
< 0.1%
72391.29 1
< 0.1%
71602.2 1
< 0.1%
59999.99 1
< 0.1%
59171.27 1
< 0.1%
59016.39 1
< 0.1%
58695.65 1
< 0.1%

entidad
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.900589
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:36.894109image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median15
Q324
95-th percentile31
Maximum32
Range31
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.296479
Coefficient of variation (CV)0.58466255
Kurtosis-1.2184901
Mean15.900589
Median Absolute Deviation (MAD)8
Skewness0.080367546
Sum4034854
Variance86.424522
MonotonicityIncreasing
2024-11-06T16:56:37.280077image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
8 12911
 
5.1%
2 11605
 
4.6%
5 11233
 
4.4%
22 10717
 
4.2%
19 10157
 
4.0%
15 9952
 
3.9%
25 9795
 
3.9%
6 9098
 
3.6%
11 8817
 
3.5%
31 8299
 
3.3%
Other values (22) 151171
59.6%
ValueCountFrequency (%)
1 7644
3.0%
2 11605
4.6%
3 7875
3.1%
4 6202
2.4%
5 11233
4.4%
6 9098
3.6%
7 5997
2.4%
8 12911
5.1%
9 7324
2.9%
10 7734
3.0%
ValueCountFrequency (%)
32 7178
2.8%
31 8299
3.3%
30 7971
3.1%
29 6320
2.5%
28 6532
2.6%
27 6038
2.4%
26 7068
2.8%
25 9795
3.9%
24 7288
2.9%
23 6371
2.5%

municipio
Real number (ℝ)

Distinct301
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.071108
Minimum1
Maximum570
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:37.630139image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median18
Q341
95-th percentile120
Maximum570
Range569
Interquartile range (IQR)35

Descriptive statistics

Standard deviation60.035224
Coefficient of variation (CV)1.6194613
Kurtosis28.562444
Mean37.071108
Median Absolute Deviation (MAD)14
Skewness4.6326229
Sum9406979
Variance3604.2281
MonotonicityNot monotonic
2024-11-06T16:56:37.955270image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 14447
 
5.7%
2 12351
 
4.9%
4 10238
 
4.0%
5 10169
 
4.0%
3 8792
 
3.5%
6 8637
 
3.4%
7 8559
 
3.4%
17 7454
 
2.9%
8 6783
 
2.7%
10 6046
 
2.4%
Other values (291) 160279
63.2%
ValueCountFrequency (%)
1 14447
5.7%
2 12351
4.9%
3 8792
3.5%
4 10238
4.0%
5 10169
4.0%
6 8637
3.4%
7 8559
3.4%
8 6783
2.7%
9 5429
 
2.1%
10 6046
2.4%
ValueCountFrequency (%)
570 67
< 0.1%
565 60
< 0.1%
560 24
 
< 0.1%
559 93
< 0.1%
557 43
< 0.1%
554 19
 
< 0.1%
553 14
 
< 0.1%
551 75
< 0.1%
547 22
 
< 0.1%
546 21
 
< 0.1%

Nhog
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.1 MiB
1
253755 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters253755
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 253755
100.0%

Length

2024-11-06T16:56:38.234523image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-11-06T16:56:38.420027image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
1 253755
100.0%

Most occurring characters

ValueCountFrequency (%)
1 253755
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 253755
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 253755
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 253755
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 253755
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 253755
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 253755
100.0%

year
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.8 MiB
2022
90102 
2020
89006 
2018
74647 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters1015020
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2022 90102
35.5%
2020 89006
35.1%
2018 74647
29.4%

Length

2024-11-06T16:56:38.609519image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-11-06T16:56:38.827935image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 90102
35.5%
2020 89006
35.1%
2018 74647
29.4%

Most occurring characters

ValueCountFrequency (%)
2 522965
51.5%
0 342761
33.8%
1 74647
 
7.4%
8 74647
 
7.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1015020
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 522965
51.5%
0 342761
33.8%
1 74647
 
7.4%
8 74647
 
7.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1015020
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 522965
51.5%
0 342761
33.8%
1 74647
 
7.4%
8 74647
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1015020
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 522965
51.5%
0 342761
33.8%
1 74647
 
7.4%
8 74647
 
7.4%

gini_year
Real number (ℝ)

Distinct3218
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.38530703
Minimum0.17438871
Maximum0.86992543
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:39.073279image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.17438871
5-th percentile0.30732391
Q10.35292479
median0.38099524
Q30.41249958
95-th percentile0.47780005
Maximum0.86992543
Range0.69553672
Interquartile range (IQR)0.059574791

Descriptive statistics

Standard deviation0.055650025
Coefficient of variation (CV)0.14443034
Kurtosis7.1129475
Mean0.38530703
Median Absolute Deviation (MAD)0.029383185
Skewness1.470937
Sum97773.586
Variance0.0030969253
MonotonicityNot monotonic
2024-11-06T16:56:39.369486image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.413504205 1544
 
0.6%
0.3840184801 1500
 
0.6%
0.4010442349 1427
 
0.6%
0.373743678 1425
 
0.6%
0.3947809829 1384
 
0.5%
0.3683525058 1378
 
0.5%
0.3829351832 1342
 
0.5%
0.419491794 1338
 
0.5%
0.3801705955 1336
 
0.5%
0.3551722264 1321
 
0.5%
Other values (3208) 239760
94.5%
ValueCountFrequency (%)
0.1743887076 17
< 0.1%
0.2161081698 28
< 0.1%
0.2234849112 19
< 0.1%
0.2243115144 10
 
< 0.1%
0.2246270873 17
< 0.1%
0.2276896521 19
< 0.1%
0.2332877229 19
< 0.1%
0.233473337 18
< 0.1%
0.2335954632 23
< 0.1%
0.2360305355 23
< 0.1%
ValueCountFrequency (%)
0.8699254311 77
< 0.1%
0.8618222006 16
 
< 0.1%
0.8599973814 22
 
< 0.1%
0.8243340561 20
 
< 0.1%
0.8066551048 19
 
< 0.1%
0.7826009445 41
< 0.1%
0.7780978993 44
< 0.1%
0.7681256647 23
 
< 0.1%
0.7594120411 40
< 0.1%
0.7572504197 24
 
< 0.1%

cum_factor
Real number (ℝ)

High correlation 

Distinct108320
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55459.084
Minimum9
Maximum589418
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:39.637768image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile1118
Q16426
median20404
Q367706
95-th percentile231407.6
Maximum589418
Range589409
Interquartile range (IQR)61280

Descriptive statistics

Standard deviation81222.026
Coefficient of variation (CV)1.4645396
Kurtosis7.0683766
Mean55459.084
Median Absolute Deviation (MAD)17420
Skewness2.4677672
Sum1.407302 × 1010
Variance6.5970176 × 109
MonotonicityNot monotonic
2024-11-06T16:56:39.910040image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1890 44
 
< 0.1%
2160 41
 
< 0.1%
1080 39
 
< 0.1%
1800 38
 
< 0.1%
1620 38
 
< 0.1%
1296 37
 
< 0.1%
900 37
 
< 0.1%
840 36
 
< 0.1%
1920 36
 
< 0.1%
1680 36
 
< 0.1%
Other values (108310) 253373
99.8%
ValueCountFrequency (%)
9 1
 
< 0.1%
12 1
 
< 0.1%
14 1
 
< 0.1%
15 1
 
< 0.1%
16 1
 
< 0.1%
17 2
< 0.1%
19 3
< 0.1%
20 1
 
< 0.1%
21 2
< 0.1%
22 2
< 0.1%
ValueCountFrequency (%)
589418 1
< 0.1%
588884 1
< 0.1%
588246 1
< 0.1%
587631 1
< 0.1%
587563 1
< 0.1%
587058 1
< 0.1%
586385 1
< 0.1%
586317 1
< 0.1%
585704 1
< 0.1%
585061 1
< 0.1%

decile
Real number (ℝ)

High correlation  Zeros 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3387914
Minimum0
Maximum9
Zeros28631
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2024-11-06T16:56:40.121475image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q37
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.8694039
Coefficient of variation (CV)0.66133714
Kurtosis-1.220659
Mean4.3387914
Median Absolute Deviation (MAD)2
Skewness0.052997789
Sum1100990
Variance8.2334785
MonotonicityNot monotonic
2024-11-06T16:56:40.301994image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 28631
11.3%
1 26346
10.4%
2 26249
10.3%
3 25693
10.1%
5 25391
10.0%
4 25286
10.0%
6 25035
9.9%
7 24548
9.7%
8 24262
9.6%
9 22314
8.8%
ValueCountFrequency (%)
0 28631
11.3%
1 26346
10.4%
2 26249
10.3%
3 25693
10.1%
4 25286
10.0%
5 25391
10.0%
6 25035
9.9%
7 24548
9.7%
8 24262
9.6%
9 22314
8.8%
ValueCountFrequency (%)
9 22314
8.8%
8 24262
9.6%
7 24548
9.7%
6 25035
9.9%
5 25391
10.0%
4 25286
10.0%
3 25693
10.1%
2 26249
10.3%
1 26346
10.4%
0 28631
11.3%

Interactions

2024-11-06T16:56:13.399956image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:08.890411image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:16.026322image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:22.860042image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:29.774548image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:38.295755image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:45.527410image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:52.270495image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:57.962706image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:04.092516image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:09.954859image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:15.678793image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:21.329989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:26.830183image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:32.546831image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:39.747464image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:46.650000image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:53.913571image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:00.752278image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:08.101619image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:15.486864image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:22.323577image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:29.373719image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:36.471731image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:44.354645image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:51.281118image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:58.352204image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:56:05.905000image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:56:13.652280image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:09.147722image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:16.249724image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:23.107381image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:30.029866image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:38.606921image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:45.765772image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:52.494893image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:58.180151image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:04.296995image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:10.160259image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:15.874270image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:21.533424image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:27.025661image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:32.823067image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:40.040679image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:46.902325image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:54.156922image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:01.003606image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:08.439715image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:15.744177image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:22.588867image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:29.661947image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:36.767940image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:44.641879image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:51.513497image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:58.657388image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:56:06.152340image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:56:13.869695image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:09.410020image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:16.528977image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:23.341755image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:30.282189image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:38.836308image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:46.026077image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:52.693365image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:58.421479image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:04.503417image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:10.365711image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:16.072739image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:21.725527image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:27.238008image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:33.012994image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:40.336888image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:47.158640image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:54.406253image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:01.260918image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:08.739912image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:15.974560image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:22.816261image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:29.892331image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:37.080104image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:44.872260image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:51.752858image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:58.934645image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:56:06.419624image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:56:14.093100image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:09.666335image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:16.758364image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:23.598068image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:30.536508image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:39.109577image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:46.292363image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:52.881885image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:58.625933image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:04.693909image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:10.564178image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:16.261967image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:21.915022image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:27.446450image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:33.198250image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:40.615144image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:47.406976image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:54.641623image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:01.530197image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:09.030136image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:16.203947image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:23.053624image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:30.143659image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:37.550846image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:45.132565image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:51.990223image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:59.221878image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:56:06.657987image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:56:14.324479image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:09.903702image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:17.009691image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:23.829449image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:30.774872image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:39.405785image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:46.557654image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:53.092320image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:58.827393image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:04.889386image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:10.769630image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:16.477391image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:22.118477image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:27.642923image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:33.420653image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:40.900382image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:47.667279image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:54.881980image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:01.775542image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:09.294430image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:16.469238image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:23.293982image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:30.393989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:37.847053image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:45.372923image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:52.218611image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:59.513098image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:56:06.916296image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:56:14.552869image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:10.140068image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:17.243068image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:24.066816image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:31.008248image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:39.702989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:46.785049image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:53.280790image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:53:59.031821image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:05.077882image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:10.993031image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:16.661868image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:22.308089image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:27.984036image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:33.604897image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:41.132760image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:47.929578image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:55.114360image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:02.015898image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:09.567697image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:16.685658image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:23.539325image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:30.663270image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:38.118327image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:45.624250image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:52.469938image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:59.787364image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
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2024-11-06T16:54:03.901054image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:09.772323image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:15.493291image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:21.143512image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:26.645677image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:32.364294image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:39.477187image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:46.427595image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:54:53.687177image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:00.537851image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:07.825359image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:15.251495image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:22.109152image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:29.135357image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:36.181508image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:44.132242image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:51.055722image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:55:58.085917image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:56:05.679603image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-06T16:56:13.078811image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2024-11-06T16:56:40.533373image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
arrendabecasbene_gobcum_factordeciledonativosentidadest_disestim_alqufactorfoliohogfoliovivgini_yearing_coringtrabjubilacionmunicipionegociootros_ingotros_trabremesasrentastrabajotrans_insttransf_hogtransferubica_geoupmutilidadyear
arrenda1.0000.0060.0160.0780.0950.008-0.005-0.0060.102-0.0040.000-0.0060.0280.1260.0080.071-0.024-0.0020.0100.0110.0040.7220.0010.0090.0110.055-0.005-0.0060.0480.000
becas0.0061.000-0.0200.0320.0380.004-0.015-0.0150.019-0.0140.019-0.0140.0050.0470.048-0.021-0.0310.0010.0120.030-0.0050.0050.0470.017-0.0180.066-0.015-0.0170.0010.005
bene_gob0.016-0.0201.000-0.165-0.0210.0970.0700.077-0.014-0.0290.0000.075-0.008-0.121-0.2500.1070.0700.1120.0080.0040.070-0.001-0.2530.1360.0480.4540.0700.081-0.0190.043
cum_factor0.0780.032-0.1651.0000.467-0.082-0.151-0.1690.3590.2630.018-0.1660.0720.6680.5190.156-0.144-0.1160.0070.003-0.0950.0940.487-0.068-0.066-0.019-0.150-0.1590.0580.022
decile0.0950.038-0.0210.4671.000-0.0820.0100.0090.2930.0450.0370.008-0.0030.7830.6050.1210.0040.0450.0130.0620.0110.1350.5170.018-0.0450.0790.0100.0090.0990.001
donativos0.0080.0040.097-0.082-0.0821.0000.0480.049-0.026-0.0000.0000.0490.019-0.110-0.220-0.0100.011-0.0000.0330.0450.032-0.019-0.2020.0690.1500.3670.0480.047-0.0350.005
entidad-0.005-0.0150.070-0.1510.0100.0481.0000.999-0.0450.1930.0200.999-0.052-0.099-0.083-0.0220.3570.0710.0080.0260.008-0.005-0.0900.0810.0380.0460.9990.986-0.0020.003
est_dis-0.006-0.0150.077-0.1690.0090.0490.9991.000-0.0500.1780.0150.999-0.057-0.104-0.088-0.0260.3570.0750.0080.0270.012-0.006-0.0950.0810.0380.0490.9980.990-0.0030.033
estim_alqu0.1020.019-0.0140.3590.293-0.026-0.045-0.0501.0000.0580.001-0.0530.0180.4360.1590.220-0.083-0.040-0.003-0.042-0.0390.1340.143-0.014-0.0350.111-0.045-0.0340.0930.021
factor-0.004-0.014-0.0290.2630.045-0.0000.1930.1780.0581.0000.0090.180-0.0300.0210.0200.0060.4590.028-0.008-0.020-0.045-0.0120.015-0.051-0.033-0.0300.1940.173-0.0120.039
foliohog0.0000.0190.0000.0180.0370.0000.0200.0150.0010.0091.0000.0180.0050.0000.0000.0000.0060.0000.0000.0080.0000.0000.0000.0000.0000.0000.0200.0140.0000.007
folioviv-0.006-0.0140.075-0.1660.0080.0490.9990.999-0.0530.1800.0181.000-0.055-0.107-0.089-0.0270.3600.0750.0080.0270.012-0.007-0.0950.0820.0380.0470.9990.987-0.0030.000
gini_year0.0280.005-0.0080.072-0.0030.019-0.052-0.0570.018-0.0300.005-0.0551.0000.003-0.0300.039-0.054-0.0020.0190.0140.0070.044-0.031-0.0010.0100.027-0.052-0.0650.0370.135
ing_cor0.1260.047-0.1210.6680.783-0.110-0.099-0.1040.4360.0210.000-0.1070.0031.0000.7560.196-0.130-0.0530.0130.036-0.0370.1800.662-0.022-0.0600.059-0.099-0.0880.1360.003
ingtrab0.0080.048-0.2500.5190.605-0.220-0.083-0.0880.1590.0200.000-0.089-0.0300.7561.000-0.167-0.0900.0320.0130.093-0.134-0.0550.881-0.099-0.176-0.353-0.083-0.078-0.0890.003
jubilacion0.071-0.0210.1070.1560.121-0.010-0.022-0.0260.2200.0060.000-0.0270.0390.196-0.1671.000-0.044-0.089-0.012-0.050-0.0350.053-0.1400.1160.0050.556-0.023-0.0220.0030.001
municipio-0.024-0.0310.070-0.1440.0040.0110.3570.357-0.0830.4590.0060.360-0.054-0.130-0.090-0.0441.0000.103-0.0170.0060.012-0.027-0.1030.019-0.0040.0070.3720.353-0.0150.021
negocio-0.0020.0010.112-0.1160.045-0.0000.0710.075-0.0400.0280.0000.075-0.002-0.0530.032-0.0890.1031.0000.0130.0470.030-0.035-0.2850.047-0.022-0.0080.0710.075-0.0500.003
otros_ing0.0100.0120.0080.0070.0130.0330.0080.008-0.003-0.0080.0000.0080.0190.0130.013-0.012-0.0170.0131.0000.0540.0100.0070.0110.0300.0210.0130.0080.0060.0010.006
otros_trab0.0110.0300.0040.0030.0620.0450.0260.027-0.042-0.0200.0080.0270.0140.0360.093-0.0500.0060.0470.0541.0000.021-0.004-0.0060.0580.0270.0010.0260.023-0.0150.003
remesas0.004-0.0050.070-0.0950.0110.0320.0080.012-0.039-0.0450.0000.0120.007-0.037-0.134-0.0350.0120.0300.0100.0211.000-0.007-0.1380.0290.0440.2340.0080.010-0.0130.017
rentas0.7220.005-0.0010.0940.135-0.019-0.005-0.0060.134-0.0120.000-0.0070.0440.180-0.0550.053-0.027-0.0350.007-0.004-0.0071.000-0.053-0.004-0.0050.024-0.005-0.0070.6970.002
trabajo0.0010.047-0.2530.4870.517-0.202-0.090-0.0950.1430.0150.000-0.095-0.0310.6620.881-0.140-0.103-0.2850.011-0.006-0.138-0.0531.000-0.098-0.158-0.329-0.089-0.087-0.0770.005
trans_inst0.0090.0170.136-0.0680.0180.0690.0810.081-0.014-0.0510.0000.082-0.001-0.022-0.0990.1160.0190.0470.0300.0580.029-0.004-0.0981.0000.0740.2660.0800.067-0.0150.002
transf_hog0.011-0.0180.048-0.066-0.0450.1500.0380.038-0.035-0.0330.0000.0380.010-0.060-0.1760.005-0.004-0.0220.0210.0270.044-0.005-0.1580.0741.0000.4140.0370.036-0.0190.006
transfer0.0550.0660.454-0.0190.0790.3670.0460.0490.111-0.0300.0000.0470.0270.059-0.3530.5560.007-0.0080.0130.0010.2340.024-0.3290.2660.4141.0000.0460.051-0.0240.000
ubica_geo-0.005-0.0150.070-0.1500.0100.0480.9990.998-0.0450.1940.0200.999-0.052-0.099-0.083-0.0230.3720.0710.0080.0260.008-0.005-0.0890.0800.0370.0461.0000.986-0.0020.003
upm-0.006-0.0170.081-0.1590.0090.0470.9860.990-0.0340.1730.0140.987-0.065-0.088-0.078-0.0220.3530.0750.0060.0230.010-0.007-0.0870.0670.0360.0510.9861.000-0.0040.168
utilidad0.0480.001-0.0190.0580.099-0.035-0.002-0.0030.093-0.0120.000-0.0030.0370.136-0.0890.003-0.015-0.0500.001-0.015-0.0130.697-0.077-0.015-0.019-0.024-0.002-0.0041.0000.003
year0.0000.0050.0430.0220.0010.0050.0030.0330.0210.0390.0070.0000.1350.0030.0030.0010.0210.0030.0060.0030.0170.0020.0050.0020.0060.0000.0030.1680.0031.000

Missing values

2024-11-06T16:56:20.149896image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-11-06T16:56:21.517239image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

foliovivfoliohogubica_geoing_corfactorupmest_disingtrabtrabajonegociootros_trabrentasutilidadarrendatransferjubilacionbecasdonativosremesasbene_gobtransf_hogtrans_instestim_alquotros_ingentidadmunicipioNhogyeargini_yearcum_factordecile
0160111901110012863.46120265100.000.000.000.000.00.00.01702.170.00.00.000.01702.170.000.001161.290.011120180.3947811200
1100211002110013423.911822823423.910.003423.910.000.00.00.00.000.00.00.000.00.000.000.000.000.011120180.3947813020
2100836004110013521.7319310923521.733521.730.000.000.00.00.00.000.00.00.000.00.000.000.000.000.011120180.3947814950
3100062803110013826.22192720.000.000.000.000.00.00.01426.220.00.01426.220.00.000.000.002400.000.011120180.3947816870
4100828801110015252.4519310721967.210.001967.210.000.00.00.0885.240.00.0885.240.00.000.000.002400.000.011120180.3947818800
5101300201110015713.7018415521491.710.000.001491.710.00.00.04221.990.00.03232.040.00.00989.950.000.000.011120180.39478110640
6101730204110015950.8018519610.000.000.000.000.00.00.05370.160.00.05370.160.00.000.000.00580.640.011120180.39478112490
7101602006110017017.1823318636554.340.006554.340.000.00.00.0462.840.00.00.000.00.000.00462.840.000.011120180.39478114820
8160083007110017269.7687261100.000.000.000.000.00.00.04947.180.00.00.000.03404.341542.840.002322.580.011120180.39478115690
9160093805110017495.7778263101028.561028.560.000.000.00.00.01967.210.00.01967.210.00.000.000.004500.000.011120180.39478116470
foliovivfoliohogubica_geoing_corfactorupmest_disingtrabtrabajonegociootros_trabrentasutilidadarrendatransferjubilacionbecasdonativosremesasbene_gobtransf_hogtrans_instestim_alquotros_ingentidadmunicipioNhogyeargini_yearcum_factordecile
253745320264531313205744577.122051018255741673.9041673.900.000.000.00.00.00.000.000.00.000.00.000.000.02903.220.03257120220.45352424605
253746320264552313205749275.022051018255738396.7029103.240.009293.460.00.00.06523.490.000.00.000.01565.214958.280.04354.830.03257120220.45352426656
253747320264531713205749330.342051018255743508.1243508.120.000.000.00.00.01467.390.000.01467.390.00.000.000.04354.830.03257120220.45352428706
253748320264552213205752191.742051018255747836.9140304.316114.131418.470.00.00.00.000.000.00.000.00.000.000.04354.830.03257120220.45352430757
253749320264551913205756123.762051018255744510.8644021.73489.130.000.00.00.00.000.000.00.000.00.000.000.011612.900.03257120220.45352432807
253750320264531613205756887.412051018255752532.5852532.580.000.000.00.00.00.000.000.00.000.00.000.000.04354.830.03257120220.45352434858
253751320264500813205757533.472051018255731183.5527270.510.003913.040.00.00.020543.4714673.910.02934.780.02934.780.000.05806.450.03257120220.45352436908
253752320264580313205785124.102051018255774409.820.0068508.195901.630.00.00.07714.280.000.00.000.00.007714.280.03000.000.03257120220.45352438959
2537533202645012132057123124.192051018255775326.0775326.070.000.000.00.00.039088.455869.560.00.000.05576.0827642.810.08709.670.03257120220.45352441009
2537543202645804132057383357.2120510182557371588.36363326.070.008262.290.00.00.07868.850.000.07868.850.00.000.000.03900.000.03257120220.45352443050